A comparative study of NN- and EKF-based SFDA schemes with application to a nonlinear UAV model

DOI10.1080/00207170903552059zbMath1196.94035OpenAlexW2110278310MaRDI QIDQ4932814

Ihab Samy, Ian Postlethwaite, Da-Wei Gu

Publication date: 7 October 2010

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207170903552059

zbMATH Keywords

neural networksextended Kalman filtersensor validationresidual generator

Mathematics Subject Classification ID

Detection theory in information and communication theory (94A13)

Cites Work

• Process fault detection based on modeling and estimation methods - a survey
• Multilayer feedforward networks are universal approximators
• Neural-network-based scheme for sensor failure detection, identification, and accommodation
• Approximation by superpositions of a sigmoidal function

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